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15th International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry, INTERAGROMASH 2022 ; 575 LNNS:2707-2718, 2023.
Article in English | Scopus | ID: covidwho-2276599

ABSTRACT

The paper is devoted to assessing the possibilities of using labor resources in the Russian economy, when considering it as a closed ecosystem. Due to the sanctions, which will significantly limit the possibility of using foreign labor, the issue of rational and economical use of labor resources becomes relevant. The basis for the reproduction of the number of employed is the permanent population of the country. As factors influencing the dynamics of the process, control actions are chosen in the form of employment levels of the population. The processes of aging of the labor force in Russia are predicted as a result of the pension reform due to an increase in the average age of the employed by about one year. The forecast estimate of the economy's additional annual demand for personnel shows, on average, a one-third decrease in the volume of annual demand for personnel. The simulation modeling of the forecast number of the employed population in Russia made it possible to assess the potential volume of labor resources that the country can count on in the future. This will help to make scientifically based management decisions to improve the efficiency of the use of available labor resources. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2.
2022 International Scientific Conference on Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East, AFE 2022 ; 371, 2023.
Article in English | Scopus | ID: covidwho-2276598

ABSTRACT

The paper examines the characteristics of coronavirus spread in different countries around the world at the beginning of the pandemic, when effective vaccines have not yet been developed. The time interval analyzed is a year and a half from the beginning of 2020 to the summer of 2021. During this period, the spread of the disease was not yet significantly affected by the uneven vaccination process of the global population, and the external environment at that time was roughly the same throughout the world in terms of the lack of effective means to counteract the spread of the coronavirus. Based on open-source data on pandemic spread statistics by country (incidence, cure, mortality), applied statistics and data mining techniques identified groups of countries with different spread of the disease. Relative values of indicators, scaled to population size, and the dynamics of their change were analyzed. Estimates were made of the relationships between country-specific pandemic indicators and key demographic and socioeconomic indicators for these countries. These results may be useful for understanding the peculiarities of viral infections spread in different countries and regions of the world in the absence of effective countermeasures. © 2023 EDP Sciences. All rights reserved.

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